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20202026
most citedDeep Learning Enabled Strain Mapping of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-picometer Precision

142 citations · 173 across the 7 of their papers we have counts for

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7 papers · 1 filter

cond-mat.mtrl-sci2026

Hierarchical Relaxation in Large-twist-angle Moire Drives Supermoire Formation

Chuqiao Shi, Giovanny Espitia, Yanxing Li +9

Supermoire lattices in large-angle twisted bilayers have recently been shown to emerge from periodic arrangements of commensurate stacking motifs, yet the microscopic structural me…

cond-mat.mtrl-sci2026

Engineering Grain Boundary Commensurability for Ferroelectric Stabilization in Hafnia-Based Films

Chuqiao Shi, Xinyan Li, Xing He +11

Grain boundaries fundamentally dictate the macroscopic properties of polycrystalline materials by breaking long-range symmetry. In ferroelectrics, these structural discontinuities…

cond-mat.mtrl-sci2025★ 4 cited

Revealing Atomic-Scale Switching Pathways in van der Waals Ferroelectrics

Xinyan Li, Kenna Ashen, Chuqiao Shi +9

Two-dimensional van der Waals (vdW) materials hold the potential for ultra-scaled ferroelectric (FE) devices due to their silicon compatibility and robust polarization down to atom…

cond-mat.mtrl-sci2025

Robust Super-Moiré in Large Angle Single-Twist Bilayers

Yanxing Li, Chuqiao Shi, Fan Zhang +19

Forming long wavelength moiré superlattices (MSL) at small-angle twist van der Waals (vdW) bilayers has been a key approach to creating moiré flat bands. The small-angle twist, how…

cond-mat.mtrl-sci2024

Preserving Surface Strain in Nanocatalysts via Morphology Control

Chuqiao Shi, Zhihua Cheng, Alberto Leonardi +4

Engineering strain critically affects the properties of materials and has extensive applications in semiconductors and quantum systems. However, the deployment of strain-engineered…

cond-mat.mtrl-sci2021

Uncovering Material Deformations via Machine Learning Combined with Four-Dimensional Scanning Transmission Electron Microscopy

Chuqiao Shi, Michael C. Cao, Sarah M. Rehn +5

Understanding lattice deformations is crucial in determining the properties of nanomaterials, which can become more prominent in future applications ranging from energy harvesting…

cond-mat.mtrl-sci2020★ 142 cited

Deep Learning Enabled Strain Mapping of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-picometer Precision

Chia-Hao Lee, Abid Khan, Di Luo +9

2D materials offer an ideal platform to study the strain fields induced by individual atomic defects, yet challenges associated with radiation damage have so-far limited electron m…